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Description
  • Connection graphs are often used for network traffic classification and P2P networks analysis. With the appearance of Software Defined Networks (SDN), a novel approach to proactive distributed network management based on multi-agent paradigm, there is a need to develop specialized graph representations. Once transmitted between elements of SDN network, they provide answers to specific queries while protecting other information about the graph. In this paper we propose one such graph representation based on Bloom Filters and show that it provides considerable reduction of required memory and strong privacy while keeping low false positive rate that does not have negative impact on its intended use.
  • Connection graphs are often used for network traffic classification and P2P networks analysis. With the appearance of Software Defined Networks (SDN), a novel approach to proactive distributed network management based on multi-agent paradigm, there is a need to develop specialized graph representations. Once transmitted between elements of SDN network, they provide answers to specific queries while protecting other information about the graph. In this paper we propose one such graph representation based on Bloom Filters and show that it provides considerable reduction of required memory and strong privacy while keeping low false positive rate that does not have negative impact on its intended use. (en)
Title
  • A Memory Efficient Privacy Preserving Representation of Connection Graphs
  • A Memory Efficient Privacy Preserving Representation of Connection Graphs (en)
skos:prefLabel
  • A Memory Efficient Privacy Preserving Representation of Connection Graphs
  • A Memory Efficient Privacy Preserving Representation of Connection Graphs (en)
skos:notation
  • RIV/68407700:21230/14:00224213!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita
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  • I
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  • 813
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  • RIV/68407700:21230/14:00224213
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  • bloom; preserving privacy; graph (en)
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http://linked.open...ontrolniKodProRIV
  • [FA6E3F7D968E]
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  • Paris
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • ACySE '14 Proceedings of the 1st International Workshop on Agents and CyberSecurity
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  • Pevný, Tomáš
  • Rehák, Martin
  • Jusko, Ján
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1145/2602945.2602947
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  • ACM
https://schema.org/isbn
  • 978-1-4503-2728-2
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  • 21230
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